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Multivariate Methods > Partial Least Squares Models > Statistical Details for the Partial Least Squares Platform > Statistical Details for Confidence Ellipses for X Score Scatterplot Matrix
Publication date: 05/05/2023

Statistical Details for Confidence Ellipses for X Score Scatterplot Matrix

In the Partial Least Squares platform, the Score Scatterplot Matrices option adds 95% confidence ellipses to the X Score scatterplots. The X scores are uncorrelated because both the NIPALS and SIMPLE algorithms produce orthogonal score vectors. The ellipses assume that each pair of X scores follows a bivariate normal distribution with zero correlation.

Consider a scatterplot for score i on the vertical axis and score j on the horizontal axis. The coordinates of the top, bottom, left, and right extremes of the ellipse are defined as follows:

the top and bottom extremes are +/-sqrt(var(score i)*z)

the left and right extremes are +/-sqrt(var(score j)*z)

where z = ((n-1)*(n-1)/n)*BetaQuantile(0.95, 1, (n-3)/2). For background on the z value, see Tracy et al. (1992).

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